@strawberry.type
class User:
    name: str
    age: int


@strawberry.type
class Query:
    @strawberry.field
    def user(self) -> User:
        return User(name="Patrick", age=100)


schema = strawberry.Schema(query=Query)


graphql_app = GraphQLRouter(schema)

app = FastAPI()

def test_query(client: TestClient):
    response = client.post("/graphql", json={"query": "{ user { name, age } }"})
    assert response.status_code == 200
    assert response.json() == {"data": {"user": {"name": "Patrick", "age": 100}}}


def test_openapi(client: TestClient):
    response = client.get("/openapi.json")
    assert response.status_code == 200
    assert response.json() == {
        "info": {

import java.util.Random;
import junit.framework.TestCase;
import org.jspecify.annotations.NullUnmarked;

/**
 * Unit tests for {@link Crc32c}. Known test values are from RFC 3720, Section B.4.
 *
 * @author Patrick Costello
 * @author Kurt Alfred Kluever
 */
@NullUnmarked
public class Crc32cHashFunctionTest extends TestCase {
  public void testEmpty() {
    assertCrc(0, new byte[0]);
  }

  public void testZeros() {

// Submitted by Gaudenz Steinlin <******@****.***>
cust.cloudscale.ch
objects.lpg.cloudscale.ch
objects.rma.cloudscale.ch

// Clovyr : https://clovyr.io
// Submitted by Patrick Nielsen <patrick@clovyr.io>
wnext.app

// CNPY : https://cnpy.gdn
// Submitted by Angelo Gladding <******@****.***>
cnpy.gdn

// Co & Co : https://co-co.nl/

import java.util.concurrent.locks.Lock;
import java.util.concurrent.locks.ReentrantLock;
import org.jspecify.annotations.NullUnmarked;

/**
 * Benchmarks for {@link CycleDetectingLockFactory}.
 *
 * @author Darick Tong
 */
@NullUnmarked
public class CycleDetectingLockFactoryBenchmark {

  @Param({"2", "3", "4", "5", "10"})
  int lockNestingDepth;

  CycleDetectingLockFactory factory;
  private Lock[] plainLocks;

## Order the parameters as you need, tricks { #order-the-parameters-as-you-need-tricks }

/// tip

This is probably not as important or necessary if you use `Annotated`.

///

Here's a **small trick** that can be handy, but you won't need it often.

If you want to:

* declare the `q` query parameter without a `Query` nor any default value
* declare the path parameter `item_id` using `Path`

Bedenken Sie, dass Datenklassen nicht alles können, was Pydantic-Modelle können.

Daher müssen Sie möglicherweise weiterhin Pydantic-Modelle verwenden.

Wenn Sie jedoch eine Menge Datenklassen herumliegen haben, ist dies ein guter Trick, um sie für eine Web-API mithilfe von FastAPI zu verwenden. 🤓

///

## Datenklassen in `response_model` { #dataclasses-in-response-model }

Sie können `dataclasses` auch im Parameter `response_model` verwenden:

/// info

Keep in mind that dataclasses can't do everything Pydantic models can do.

So, you might still need to use Pydantic models.

But if you have a bunch of dataclasses laying around, this is a nice trick to use them to power a web API using FastAPI. 🤓

///

## Dataclasses in `response_model` { #dataclasses-in-response-model }

You can also use `dataclasses` in the `response_model` parameter:

/// tip | Tipp

Das ist wahrscheinlich nicht so wichtig oder notwendig, wenn Sie `Annotated` verwenden.

///

Hier ist ein **kleiner Trick**, der nützlich sein kann, obwohl Sie ihn nicht oft benötigen werden.

Wenn Sie:

* den `q`-Query-Parameter sowohl ohne `Query` als auch ohne Defaultwert deklarieren
* den Pfad-Parameter `item_id` mit `Path` deklarieren

Nevertheless, we can declare the expected schema for the request body.

### Custom OpenAPI content type { #custom-openapi-content-type }

Using this same trick, you could use a Pydantic model to define the JSON Schema that is then included in the custom OpenAPI schema section for the *path operation*.

And you could do this even if the data type in the request is not JSON.